---
title: "System Design Case Study #2: How GitHub Indexes Code For Blazing Fast Search & Retrieval"
url: https://daily.dev/posts/system-design-case-study-2-how-github-indexes-code-for-blazing-fast-search-retrieval-i3nekjhsv
source_url: https://scaleyourapp.com/system-design-github-code-search-engine/
type: article
source: "Pointer"
published: 2023-10-20T16:55:30.438Z
updated: 2023-10-20T16:55:07.481Z
tags: ["infrastructure", "career", "github"]
reading_time: 8
upvotes: 25
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# System Design Case Study #2: How GitHub Indexes Code For Blazing Fast Search & Retrieval

**[Pointer](https://daily.dev/sources/pointer)** · 8 min read · 25 upvotes · 0 comments

## Summary

GitHub developed their own search engine called Project Blackbird in Rust to meet their requirements at scale. They use indices to store information about code, including programming languages and n-grams. Content addressable storage is used to efficiently store duplicate data, and hash-based sharding is used to distribute data across shards.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://scaleyourapp.com/system-design-github-code-search-engine/>

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---

Tags: [#infrastructure](https://daily.dev/tags/infrastructure), [#career](https://daily.dev/tags/career), [#github](https://daily.dev/tags/github)

[View this post on daily.dev](https://daily.dev/posts/system-design-case-study-2-how-github-indexes-code-for-blazing-fast-search-retrieval-i3nekjhsv)